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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 24507
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    Explanations

    locations coming from various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to various inns and accommodations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uyomi
    -0.76
    vich
    -0.75
    theless
    -0.72
    =-=-=-=-=-=-=-=-
    -0.71
     Stafford
    -0.69
     litter
    -0.67
    izoph
    -0.66
    xual
    -0.65
     Marketable
    -0.63
     foliage
    -0.62
    POSITIVE LOGITS
    umerable
    1.19
    keeper
    1.18
     Inn
    1.02
    ocent
    0.96
    keepers
    0.93
    acle
    0.91
    ocaust
    0.89
    oc
    0.89
    itial
    0.88
    ovo
    0.87
    Activations Density 0.008%

    No Known Activations